\begin{table}[H]
     \caption{Effect of Prediction Distance on Updating and Uncertainty}
     \label{tab:results}  
     \begin{center}
     \begin{adjustbox}{max width=1\textwidth}
     \begin{tabular}{l ccccccc cccc}
     \toprule %%%%%%%%%%%%%%%%%%%%%%%%%
     &  \multicolumn{6}{c}{Updating} & \multicolumn{4}{c}{Credibility} \\     \cmidrule(lr){2-7} \cmidrule(lr){8-11}
     &  \multicolumn{3}{c}{Pre-Registered} & \multicolumn{3}{c}{Post Hoc} & \multicolumn{2}{c}{Pre-Registered} & \multicolumn{2}{c}{Post Hoc} \\
     \cmidrule(lr){2-4} \cmidrule(lr){5-7} \cmidrule(lr){8-9} \cmidrule(lr){10-11}
     & Linear & Quadratic & Cubic & Linear & Quadratic & Cubic & Linear & Quadratic & Linear & Quadratic \\
     \midrule %%%%%%%%%%%%%%%%%%%%%%%%% 
Distance & -0.08 & -0.36 & -0.38 & -0.11 & -0.60$^{*}$ & -1.29$^{*}$ & -0.16$^{***}$ & -0.62$^{***}$ & -0.14$^{**}$ & -0.58$^{**}$  \\ 
  & (0.05) & (0.22) & (0.53) & (0.06) & (0.23) & (0.60) & (0.04) & (0.18) & (0.05) & (0.19)  \\ 
 \addlinespace[0.2cm] Distance$^2$ &   & 0.09 & 0.11 &   & 0.16$^{*}$ & 0.71 &   & 0.15$^{**}$ &   & 0.14$^{*}$  \\ 
  &   & (0.07) & (0.41) &   & (0.07) & (0.45) &   & (0.06) &   & (0.06)  \\ 
 \addlinespace[0.2cm] Distance$^3$ &   &   & -0.00 &   &   & -0.12 &   &   &   &    \\ 
  &   &   & (0.09) &   &   & (0.10) &   &   &   &    \\ 
 \addlinespace[0.2cm] Prior = Prediction (Dummy) &   &   &   & -0.59 & -0.85$^{*}$ & -1.04$^{**}$ &   &   & 0.38 & 0.15  \\ 
  &   &   &   & (0.33) & (0.35) & (0.38) &   &   & (0.26) & (0.28)  \\ 
 \addlinespace[0.2cm] \midrule AIC & 20521 & 20521 & 20523 & 20520 & 20517 & 20518 & 18973 & 18967 & 18973 & 18969 \\ 
Observations & 4027 & 4027 & 4027 & 4027 & 4027 & 4027 & 4032 & 4032 & 4032 & 4032 \\ 
\bottomrule %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    \end{tabular}
    \end{adjustbox}
    \caption*{\footnotesize{\textbf{Note:} OLS estimates with robust standard errors within parentheses. Prediction distance ranges from 0 to 3, in increments of 0.1 corresponding to a loss of 100,000 jobs. Updating is the difference between the posterior and prior belief expressed in millions of jobs. Credibility ranges from 0 to 10 and higher values mean more credible predictions.  \\\hspace{\textwidth}
    $^* p <0.05, ^{**} p<0.01, ^{***} p<0.001$}}
    \end{center}
    \end{table}